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{
"_name_or_path": "SI2M-Lab/DarijaBERT",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"cls_token": "[CLS]",
"do_lower_case": true,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "*6",
"1": "autre",
"2": "*4",
"3": "*7",
"4": "Recharge normale",
"5": "*1"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"*1": "5",
"*4": "2",
"*6": "0",
"*7": "3",
"Recharge normale": "4",
"autre": "1"
},
"layer_norm_eps": 1e-12,
"mask_token": "[MASK]",
"max_len": 128,
"max_position_embeddings": 512,
"model_max_length": 128,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token": "[PAD]",
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"sep_token": "[SEP]",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 2,
"unk_token": "[UNK]",
"use_cache": true,
"vocab_size": 80000
}
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